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chore: sphinx doesn't support \mathsc.
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Benoit Chevallier
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@@ -31,7 +31,7 @@ $$ S = \frac{\beta - \alpha}{2^n - 1} $$
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The other important parameter from this quantization schema is the `zero point` $ Z $ value. This essentially brings the 0 floating point value to a specific integer. Doing this allows us to have an asymetric quantization where the resulting integer is in the unsigned integer realm, $ \mathbb{N} $.
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$$ Z = \mathsc{round} \left(- \frac{\alpha}{S} \right) $$
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$$ Z = \mathtt{round} \left(- \frac{\alpha}{S} \right) $$
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There is more mathematics involved in how computations change when replacing floating point values by integers for a fully connected or a convolution layer. The IntelLabs distiller quantization documentation goes into a [detailed explanation](https://intellabs.github.io/distiller/algo_quantization.html) about the maths to quantize values and how to keep computations consistent.
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